网络嵌入、知识管理与核心企业自主创新

以2009-2015年华为集团公司在美国专利商标局经授权的无线通信网络技术专利及其引证和被引证专利,构建了核心企业自主创新网络。运用社会网络分析软件UCINET6.0,分析了网络嵌入与核心企业自主创新的关系以及知识管理在其中所起的中介作用。实证结果表明,网络位置对核心企业自主创新能力具有正向影响,网络关系对核心企业自主创新能力具有负向影响,知识管理在核心企业自主创新网络中具有正向调节作用。     

基于专利的新技术知识扩散力研究

探讨了技术知识扩散的概念,提出了基于专利的新技术知识扩散力四分图模型,并以多个专利为样本对模型进行了验证,该研究成果可用于由专利体现的新技术成果知识扩散力的预测。     

How Task-Facilitative Interactive Tools Foster Buyers’ Trust in Online Retailers: A Process View of Trust Development in the Electronic Marketplace

While there is a sustained interest in research focusing on issues relating to trust development in the electronic marketplace, significant gaps remain in the literature. In particular, little is known of the underlying processes that may be occurring in online trust development. For example, research suggests that factors such as site design and navigability are among the factors that impact trust perceptions. Extant literature, however, is largely silent about why certain trust-related effects are observed in online environments. In this paper, we propose a new process-centric perspective for understanding the formation of online trust—through buyer's assessment of the e-retailer's assistive intent, implicitly embedded in task-facilitative interactive tools. Specifically, we develop and test a model delineating the relationship between seller's provision of interactive product information management and product information comprehension tools, buyer's perceptions of seller's assistive intent, and buyer's initial trust in the seller. The results of two studies provide support for the trust-enhancing effects of task-facilitative informational tools and the mediating role of buyer's perceptions of seller's assistive intent. Importantly, these effects occur without any explicit expressions of seller's intentions. The results also suggest that the efficacy of interactive informational tools in engendering perceptions of seller's assistive intent, and hence trust, varies with the buyer's level of involvement with and knowledge of the product category.     

Modelling a dynamic market potential: A class of automata networks for diffusion of innovations

Innovation diffusion processes are generally described at aggregate level with models like the Bass Model (BM) and the Generalized Bass Model (GBM). However, the recognized importance of communication channels between agents has recently suggested the use of agent-based models, like Cellular Automata. We argue that an adoption or purchase process is nested in a communication network that evolves dynamically and indirectly generates a latent non-constant market potential affecting the adoption phase.Using Cellular Automata we propose a two-stage model of an innovation diffusion process. First we describe a communication network, an Automata Network, necessary for the “awareness” of an innovation. Then, we model a nested process depicting the proper purchase dynamics. Through a mean field approximation we propose a continuous representation of the discrete time equations derived by our nested two-stage model. This constitutes a special non-autonomous Riccati equation, not yet described in well-known international catalogues. The main results refer to the closed form solution that includes a general dynamic market potential and to the corresponding statistical analysis for identification and inference. We discuss an application to the diffusion of a new pharmaceutical drug.     

The effect of social networks structure on innovation performance: A review and directions for research

Research on growth of innovations introduced to the market has gradually shifted its focus from aggregate-level diffusion to exploring how growth is influenced by a given social network structure's characteristics. In this paper, we critically review this branch of literature. We argue that the growth of an innovation in a social network is shaped by the network's structure. Borrowing from the field of industrial organization in economics, which defines itself as the study of the effect of market structure on market performance, we describe this new wave of research on growth of innovations as the effect of social network structure on innovation performance. Hence, social network structural characteristics should be incorporated into research on new product growth as well as into managerial marketing decisions such as targeting and new product seeding.We review how social network structure influences innovations' market performance. Specifically, we discuss (1) a networks' global characteristics, namely average degree, degree distribution, clustering, and degree assortativity; (2) dyadic characteristics, or the relationships between pairs of network members, namely tie strength and embeddedness; (3) intrinsic individual characteristics, namely opinion leadership and susceptibility; and (4) location-based individual characteristics, namely the degree centrality, closeness centrality, and betweenness centrality of an individual network member.Overall, we find that growth is particularly effective in networks that demonstrate the “3 Cs”: cohesion (strong mutual influence among its members), connectedness (high number of ties), and conciseness (low redundancy). We identify gaps in current knowledge, discuss the implications on managerial decision making, and suggest topics for future research.     

产业集群内基于时间和距离的技术创新扩散模型研究

以创新和扩散为导向的集群经济效益已成为产业集群的竞争优势所在。基于时间和空间距离因素,构建了产业集群内的技术创新空间扩散模型,应用数据仿真实验,分析了在集群内进行技术创新空间扩散的动态过程,探讨了模型参数变化对技术创新扩散的影响,并着重分析了空间距离对技术创新扩散的影响。结果表明,产业集群内的技术创新扩散是典型的时空统一扩散过程,空间距离会阻碍技术创新的扩散,而且集群内采用技术创新的企业数量与距离因素呈负指数关系,为客观地预测和控制产业集群内时空统一的技术创新扩散过程提供了理论依据。     

演化经济学框架下环保技术扩散研究——以熔炼压缩炼铁技术的扩散为例

在分析传统框架下扩散模型的局限性及环保技术扩散的特殊性的基础上,以SRT的扩散为例,尝试用演化经济学的框架来探讨环保技术的扩散问题。技术的扩散是技术竞争的动态演化、企业家和异质采用者、制度和政治等共同作用的结果,因此,从一个更广泛的演化经济学的框架来理解技术扩散,特别是环保技术的扩散是很有必要的。     

高技术产业集群中技术创新与扩散的系统基模分析与政策解析

技术扩散(或知识溢出)是企业集群发展的一个主要诱因,但是技术扩散(或知识溢出)的微观过程依然是一个"黑箱"。将高技术产业集群看成一个系统,应用系统动力学的方法,建立了技术创新动力成长上限基模、技术扩散动力成长上限基模、知识生产与搭便车者两败俱伤基模、知识生产富者愈富基模、集群成长与投资不足基模、集群创新舍本逐末基模、集群发展饮鸩止渴基模共7个系统基模,用以揭示高技术产业集群中技术创新、技术扩散、知识生产、集群成长与集群发展之间因果关系的作用机理及运作机制,并对基模根本解作了政策解析。     

技术创新扩散补贴机制研究——基于微分博弈分析

运用微分博弈纳什反馈均衡(Feedback Nash Equilibrium)和Stackelberg反馈均衡(Feedback Stackelberg Equilibrium)对技术创新扩散过程中,采用时间定量补贴和投入比例补贴的两种补贴机制进行了研究。通过研究,我们发现在采用时间定量补贴的微分博弈中,纳什反馈均衡和Stackelberg反馈均衡相同,则先行动者无先动优势,补贴机制没有达到目标。而在改进的采用投入比例补贴机制中,存在唯一的Stackelberg反馈均衡:领导者是先采用者,跟随者是后采用者,则该博弈具有先动优势,从而达到了提高潜在采用者采用积极性的补贴目的。     

产业技术扩散的博弈分析模型

当技术扩散的环境发生变化时,传统的"S"形扩散模型将失去其解释力。通过对政府在促进外资企业技术扩散的博弈模型分析,以及外资企业在激励条件下的反应分析,为政府在制定技术扩散政策以促进外资企业技术扩散提供理论依据。来自广州汽车产业发展的经验以及发展现状,为博弈模型提供了有力的实证支持。